Universidad Peruana Cayetano Heredia

Drivers of stunting reduction in Peru: A country case study

Mostrar el registro sencillo del ítem

dc.contributor.author Huicho Oriundo, Luis
dc.contributor.author Vidal-Cárdenas, E.
dc.contributor.author Akseer, N.
dc.contributor.author Brar, S.
dc.contributor.author Conway, K.
dc.contributor.author Islam, M.
dc.contributor.author Juarez, E.
dc.contributor.author Rappaport, A.
dc.contributor.author Tasic, H.
dc.contributor.author Vaivada, T.
dc.contributor.author Wigle, J.
dc.contributor.author Bhutta, Z.A.
dc.date.accessioned 2020-12-14T16:06:26Z
dc.date.available 2020-12-14T16:06:26Z
dc.date.issued 2020
dc.identifier.uri https://hdl.handle.net/20.500.12866/8720
dc.description.abstract Background: Peru reduced its under-5 child stunting prevalence notably from 31.3% in 2000 to 13.1% in 2016. Objectives: We aimed to study factors and key enablers of child stunting reduction in Peru from 2000–2016. Methods: Demographic and Health Surveys were used to conduct descriptive analyses [height-for-age z scores (HAZ) means and distributions, equity analysis, predicted child growth curves through polynomial regressions] and advanced regression analyses. An ecological (at department level) multilevel regression analysis was conducted to identify the major predictors of stunting decline from 2000 to 2016, and Oaxaca–Blinder decomposition was conducted to identify the relative contribution of each factor to child HAZ change. A systematic literature review, policy and program analysis, and interviews with relevant stakeholders were conducted to understand key drivers of stunting decline in Peru. Results: The distribution of HAZ scores showed a slight rightward shift from 2000 to 2007/2008, and a greater shift from 2007/2008 to 2016. Stunting reduction was higher in the lowest wealth quintile, in rural areas, and among children with the least educated mothers. Decomposing predicted changes showed that the most important factors were increased maternal BMI and maternal height, improved maternal and newborn health care, increased parental education, migration to urban areas, and reduced fertility. Key drivers included the advocacy role of civil society and political leadership around poverty and stunting reduction since the early 2000s. Key enablers included the economic growth and the consolidation of democracy since the early 2000s, and the acknowledgement that stunting reduction needs much more than food supplementation. Conclusions: Peru reduced child stunting owing to improved socioeconomic determinants, sustained implementation of out-of-health-sector and within-health-sector changes, and implementation of health interventions. These efforts were driven through a multisectoral approach, strong civil society advocacy, and keen political leadership. Peru’s experience offers useful lessons on how to tackle the problem of stunting under differing scenarios, with the participation of multiple sectors. en_US
dc.language.iso eng
dc.publisher Oxford University Press
dc.relation.ispartofseries American Journal of Clinical Nutrition
dc.rights info:eu-repo/semantics/restrictedAccess
dc.rights.uri https://creativecommons.org/licenses/by-nc-nd/4.0/deed.es
dc.subject stunting en_US
dc.subject linear growth en_US
dc.subject children en_US
dc.subject nutrition en_US
dc.subject exemplar en_US
dc.subject Peru en_US
dc.subject Latin America en_US
dc.subject mixed methods en_US
dc.title Drivers of stunting reduction in Peru: A country case study en_US
dc.type info:eu-repo/semantics/article
dc.identifier.doi https://doi.org/10.1093/ajcn/nqaa164
dc.subject.ocde https://purl.org/pe-repo/ocde/ford#3.03.04
dc.relation.issn 1938-3207


Ficheros en el ítem

Ficheros Tamaño Formato Ver

No hay ficheros asociados a este ítem.

Este ítem aparece en la(s) siguiente(s) colección(ones)

Mostrar el registro sencillo del ítem

info:eu-repo/semantics/restrictedAccess Excepto si se señala otra cosa, la licencia del ítem se describe como info:eu-repo/semantics/restrictedAccess

Buscar en el Repositorio


Listar

Panel de Control

Estadísticas